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基于静息态功能连接的齿状核分割:新发现及临床意义。

Resting-state functional connectivity-based parcellation of the human dentate nucleus: new findings and clinical relevance.

机构信息

Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA.

University of Illinois Urbana-Champaign, Champaign, IL, USA.

出版信息

Brain Struct Funct. 2023 Sep;228(7):1799-1810. doi: 10.1007/s00429-023-02665-4. Epub 2023 Jul 13.

Abstract

For years, the cerebellum was left out of functional magnetic resonance imaging (fMRI) studies due to technological limitations. The advent of novel data acquisition and reconstruction strategies (e.g., whole-brain simultaneous multi-slice imaging) employing multi-channel array coils has overcome such limitations, ushering unprecedented improvements in temporal signal-to-noise ratio and spatiotemporal resolution. Here, we aim to provide a brief report on the deep cerebellar nuclei, specifically focusing on the dentate nuclei, the primary output nuclei, situated within both cognitive and motor cerebello-cerebral circuits. We highlight the importance of functional parcellation in refining our understanding of broad resting-state functional connectivity (RSFC) in both health and disease. First, we review work relevant to the functional topography of the dentate nuclei, including recent advances in functional parcellation. Next, we review RSFC studies using the dentate nuclei as seed regions of interest in neurological and psychiatric populations and discuss the potential benefits of applying functionally defined subdivisions. Finally, we discuss recent technological advances and underscore ultrahigh-field neuroimaging as a tool to potentiate functionally parcellated RSFC analyses in clinical populations.

摘要

多年来,由于技术限制,小脑一直被排除在功能磁共振成像 (fMRI) 研究之外。采用多通道阵列线圈的新型数据采集和重建策略(例如全脑同时多切片成像)的出现克服了这些限制,为时间信号与噪声比和时空分辨率带来了前所未有的提高。在这里,我们旨在提供一个关于小脑深部核的简要报告,特别是聚焦于齿状核,这是位于认知和运动小脑-大脑回路中的主要输出核。我们强调功能分区在深化我们对健康和疾病中广泛静息状态功能连接 (RSFC) 的理解方面的重要性。首先,我们回顾与齿状核功能拓扑相关的工作,包括功能分区的最新进展。接下来,我们回顾了使用齿状核作为神经和精神疾病人群的感兴趣区种子的 RSFC 研究,并讨论了应用功能定义的细分的潜在好处。最后,我们讨论了最近的技术进步,并强调超高场神经影像学作为一种工具,可以增强临床人群中功能分区的 RSFC 分析。

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